all AI news
Evaluating LLMs in Cypher Statement Generation
Jan. 19, 2024, 5:11 p.m. | Tomaz Bratanic
Towards Data Science - Medium towardsdatascience.com
Step-by-step tutorial for assessing the accuracy of generated Cypher Statements
Image generated by DALL-EShortly after large language models (LLMs) became popular, we realized they were decent at translating natural language to database queries such as SQL and Cypher. To enable the LLM to create tailored queries for your particular database, you must provide its schema and, optionally, a few example queries. With this information, the LLM can generate database queries based on natural language input.
While LLMs show great …
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Risk Management - Machine Learning and Model Delivery Services, Product Associate - Senior Associate-
@ JPMorgan Chase & Co. | Wilmington, DE, United States
Senior ML Engineer (Speech/ASR)
@ ObserveAI | Bengaluru